IEICE TRANSACTIONS on Information
Image Pattern Similarity Index and Its Application to Task-Specific Transfer Learning
Summary :
A quantized index for evaluating the pattern similarity of two different datasets is designed by calculating the number of correlated dictionary atoms. Guided by this theory, task-specific biometric recognition model transferred from state-of-the-art DNN models is realized for both face and vein recognition.
- Publication
- IEICE TRANSACTIONS on Information Vol.E100-D No.12 pp.3032-3035
- Publication Date
- 2017/12/01
- Publicized
- 2017/08/31
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2017EDL8008
- Type of Manuscript
- LETTER
- Category
- Artificial Intelligence, Data Mining
Authors
Jun WANG
China University of Mining and Technology
Guoqing WANG
China University of Mining and Technology
Leida LI
China University of Mining and Technology
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Jun WANG, Guoqing WANG, Leida LI, "Image Pattern Similarity Index and Its Application to Task-Specific Transfer Learning" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 12, pp. 3032-3035, December 2017, doi: 10.1587/transinf.2017EDL8008.
Abstract: A quantized index for evaluating the pattern similarity of two different datasets is designed by calculating the number of correlated dictionary atoms. Guided by this theory, task-specific biometric recognition model transferred from state-of-the-art DNN models is realized for both face and vein recognition.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017EDL8008/_p
Copy
@ARTICLE{e100-d_12_3032,
author={Jun WANG, Guoqing WANG, Leida LI, },
journal={IEICE TRANSACTIONS on Information},
title={Image Pattern Similarity Index and Its Application to Task-Specific Transfer Learning},
year={2017},
volume={E100-D},
number={12},
pages={3032-3035},
abstract={A quantized index for evaluating the pattern similarity of two different datasets is designed by calculating the number of correlated dictionary atoms. Guided by this theory, task-specific biometric recognition model transferred from state-of-the-art DNN models is realized for both face and vein recognition.},
keywords={},
doi={10.1587/transinf.2017EDL8008},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - Image Pattern Similarity Index and Its Application to Task-Specific Transfer Learning
T2 - IEICE TRANSACTIONS on Information
SP - 3032
EP - 3035
AU - Jun WANG
AU - Guoqing WANG
AU - Leida LI
PY - 2017
DO - 10.1587/transinf.2017EDL8008
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2017
AB - A quantized index for evaluating the pattern similarity of two different datasets is designed by calculating the number of correlated dictionary atoms. Guided by this theory, task-specific biometric recognition model transferred from state-of-the-art DNN models is realized for both face and vein recognition.
ER -
English
